https://www.selleckchem.com/products/fm19g11.html 4%) or by collectors during their visit (14.1%). Most mothers (72%) found the human milk donation process easy and most of them (92.5%) were willing to donate their milk again after their next pregnancy. This survey shows that more than 90% of mothers are satisfied with donation to human milk banks. However, efforts should be made to provide information on breastfeeding and human milk donation to the general population and health professionals. PURPOSE The purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS Eighty-nine patients with AIP (65 men, 24 women; mean age, 59.7±13.9 [SD] years; range 21-83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1±12.3 [SD] years; range 36-86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5mm thickness/increment) were compared with thick-slices images (3 or 5mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60ntiate AIP from PDAC with an overall accuracy of 95.2%. BACKGROUND Recognition of anatomic variations in the hepatic artery is important at the time of organ uptake and at the back table for transplantation. PURPOSE To know the frequency of these variations, in a 5-year series of liver transplantation and the various types of arterial reconstruction used in back table surgery. METHODS We analyzed 340 donor files and calculated the frequencies of the various anatomic variat